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本文应用自组织特征映照模型,以知识处理中的地势搜索原理为出发点,研究并提出了在线式设备状态自动识别系统的工作原理。该系统采用状态映照平面初始化方法、未知模式标定技术和在线识别技术,并结合知识库和规则推理的运用,有效地实现设备状态的分类。而且系统分类具有实时性,聚类方式直观明了。本文研制的系统通过实例应用得到了很好证实。
In this paper, self-organizing feature mapping model is applied to the principle of topographical search in knowledge processing. The working principle of on-line device status automatic identification system is researched and put forward. The system uses the state mapping plane initialization method, the unknown pattern calibration technology and online recognition technology, combined with the knowledge base and the use of rule-based reasoning, the effective classification of equipment status. Moreover, the system classification is real-time, and the clustering method is intuitive and clear. The system developed in this paper has been well verified through the application of examples.